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arXiv · 2606.31034

Practical Linear-Time Computation of Smallest Suffixient Sets

Francisco Olivares·Gonzalo Navarro
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Abstract

Suffixient arrays are recent structures that have attracted attention because they offer relevant pattern matching functionality in less asymptotic space than the Run-Length BWT, the de-facto standard to index highly repetitive string collections. Various algorithms exist for building them from the suffix array data structures. We present the first construction algorithm that is (i) linear-time, (ii) one-pass over the structures, and (iii) implemented and practical. This makes the construction particularly useful on large text collections, which we demonstrate empirically by showing that it dominates the space/time tradeoff map of the implemented constructions.

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Francisco Olivares, Gonzalo Navarro. 2026-06-30. Practical Linear-Time Computation of Smallest Suffixient Sets. https://arxiv.org/abs/2606.31034

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